Apache Dubbo vs Docker Swarm

Overview

Docker Swarm

Stacks779

Followers990

Votes282

Apache Dubbo

Stacks33

Followers61

Votes0

GitHub Stars41.6K

Forks26.5K

Apache Dubbo vs Docker Swarm: What are the differences?

Architecture: Apache Dubbo follows a microservices architecture, allowing developers to break down their application into smaller, more manageable components that can be independently deployed and scaled. On the other hand, Docker Swarm follows a traditional container-based architecture where multiple containers are grouped and managed together as a single entity.
Containerization: Apache Dubbo focuses on service-oriented architecture and communication between different services, while Docker Swarm primarily focuses on container orchestration, deployment, and clustering. While both tools can work together, they serve different purposes in the software development lifecycle.
Scalability: Apache Dubbo provides built-in support for load balancing, fault tolerance, and service discovery, making it easier to scale services horizontally. Docker Swarm also supports scaling applications across multiple nodes, but its primary focus is on managing containerized applications within a cluster environment.
Interoperability: Apache Dubbo provides support for various programming languages like Java, Python, and C++, making it a versatile choice for developers working with different technologies. Docker Swarm, on the other hand, integrates seamlessly with Docker containers and its ecosystem, providing a standardized way to manage and deploy containerized applications.
Resource Management: Apache Dubbo focuses on efficient resource management within a distributed system, allowing developers to optimize performance and utilization of resources. Docker Swarm offers resource management at the container level, ensuring that each container gets its required amount of CPU, memory, and other resources within a cluster environment.
Community Support: Apache Dubbo is an open-source project managed by the Apache Software Foundation, with a strong community of developers contributing to its growth and maintenance. Docker Swarm is part of the larger Docker ecosystem, benefiting from the support and resources available for Docker containers and related technologies.

In Summary, Apache Dubbo and Docker Swarm serve different purposes in the software development process, with Apache Dubbo focusing on microservices architecture and communication between services, whereas Docker Swarm is dedicated to container orchestration and management within a cluster environment.

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Advice on Docker Swarm, Apache Dubbo

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

GitHub

GitHub Pages

Markdown

Our whole DevOps stack consists of the following tools:

@{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
Respectively @{Git}|tool:1046| as revision control system
@{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
@{Visual Studio Code}|tool:4202| as IDE
@{CircleCI}|tool:190| for continuous integration (automatize development process)
@{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
@{SonarQube}|tool:2638| as quality gate
@{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
@{VirtualBox}|tool:774| for operating system simulation tests
@{Kubernetes}|tool:1885| as cluster management for docker containers
@{Heroku}|tool:133| for deploying in test environments
@{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
@{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
@{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
@{PostgreSQL}|tool:1028| as preferred database system
@{Redis}|tool:1031| as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
Scalability: All-in-one framework for distributed systems.
Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.

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Detailed Comparison

Docker Swarm	Apache Dubbo
Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.	It is a high-performance, light weight, java based RPC framework. Dubbo offers three key functionalities, which include interface based remote call, fault tolerance & load balancing, and automatic service registration & discovery.
-	Transparent interface based RPC; Intelligent load balancing; Automatic service registration and discovery; High extensibility
Statistics
GitHub Stars -	GitHub Stars 41.6K
GitHub Forks -	GitHub Forks 26.5K
Stacks 779	Stacks 33
Followers 990	Followers 61
Votes 282	Votes 0
Pros & Cons
Pros 55 Docker friendly 46 Easy to setup 40 Standard Docker API 38 Easy to use 23 Native Cons 9 Low adoption	No community feedback yet
Integrations
Docker	Java IntelliJ IDEA Spring Framework Eclipse

What are some alternatives to Docker Swarm, Apache Dubbo?

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.

Android SDK

Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.

Related Comparisons

Apache Dubbo vs Docker Swarm: What are the differences?

Architecture: Apache Dubbo follows a microservices architecture, allowing developers to break down their application into smaller, more manageable components that can be independently deployed and scaled. On the other hand, Docker Swarm follows a traditional container-based architecture where multiple containers are grouped and managed together as a single entity.
Containerization: Apache Dubbo focuses on service-oriented architecture and communication between different services, while Docker Swarm primarily focuses on container orchestration, deployment, and clustering. While both tools can work together, they serve different purposes in the software development lifecycle.
Scalability: Apache Dubbo provides built-in support for load balancing, fault tolerance, and service discovery, making it easier to scale services horizontally. Docker Swarm also supports scaling applications across multiple nodes, but its primary focus is on managing containerized applications within a cluster environment.
Interoperability: Apache Dubbo provides support for various programming languages like Java, Python, and C++, making it a versatile choice for developers working with different technologies. Docker Swarm, on the other hand, integrates seamlessly with Docker containers and its ecosystem, providing a standardized way to manage and deploy containerized applications.
Resource Management: Apache Dubbo focuses on efficient resource management within a distributed system, allowing developers to optimize performance and utilization of resources. Docker Swarm offers resource management at the container level, ensuring that each container gets its required amount of CPU, memory, and other resources within a cluster environment.
Community Support: Apache Dubbo is an open-source project managed by the Apache Software Foundation, with a strong community of developers contributing to its growth and maintenance. Docker Swarm is part of the larger Docker ecosystem, benefiting from the support and resources available for Docker containers and related technologies.

Apache Dubbo vs Docker Swarm

Overview